Hua Mao

According to our database, Hua Mao authored at least 63 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dynamic Graph Embedding via Meta-Learning.

Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu

IEEE Trans. Knowl. Data Eng., July, 2024

Explainable AI Evaluation: A Top-Down Approach for Selecting Optimal Explanations for Black Box Models.

SeyedehRoksana Mirzaei, Hua Mao, Raid Rafi Omar Al-Nima, Wai Lok Woo

Inf., 2024

Self-Supervised Conditional Distribution Learning on Graphs.

Jie Chen, Hua Mao, Yuanbiao Gou, Zhu Wang, Xi Peng

CoRR, 2024

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams.

Jie Chen, Hua Mao, Yuanbiao Gou, Xi Peng

CoRR, 2024

Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques.

Jacob Sanderson, Hua Mao, Naruephorn Tengtrairat, Raid Rafi Omar Al-Nima, Wai Lok Woo

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Hypergraph-based attribute reduction of formal contexts in rough sets.

Hua Mao, Shengyu Wang, Chang Liu, Gang Wang

Expert Syst. Appl., December, 2023

Low-Rank Tensor Learning for Incomplete Multiview Clustering.

Jie Chen, Zhu Wang, Hua Mao, Xi Peng

IEEE Trans. Knowl. Data Eng., November, 2023

Two-Stage Sparse Representation Clustering for Dynamic Data Streams.

Jie Chen, Zhu Wang, Shengxiang Yang, Hua Mao

IEEE Trans. Cybern., October, 2023

Efficient Sparse Representation for Learning With High-Dimensional Data.

Jie Chen, Shengxiang Yang, Zhu Wang, Hua Mao

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Rough set approximations based on a matroidal structure over three sets.

Gang Wang, Hua Mao, Chang Liu, Zhiming Zhang, Lanzhen Yang

Appl. Intell., June, 2023

Multiview Clustering by Consensus Spectral Rotation Fusion.

Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng

IEEE Trans. Image Process., 2023

Two new kinds of protoconcepts based on three-way decisions model.

Hua Mao, Jingze Ma, Zhenhua Niu

Soft Comput., 2023

Three-way preconcept and two forms of approximation operators.

Hua Mao, Yilin Cheng, Xiaoqing Liu

Soft Comput., 2023

Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning.

Jacob Sanderson, Hua Mao, Mohammed A. M. Abdullah, Raid Rafi Omar Al-Nima, Wai Lok Woo

Inf., 2023

Cross-View Graph Consistency Learning for Invariant Graph Representations.

Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng

CoRR, 2023

Deep Multiview Clustering by Contrasting Cluster Assignments.

Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks.

Tao He, Hua Mao, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2022

Multiview Subspace Clustering Using Low-Rank Representation.

Jie Chen, Shengxiang Yang, Hua Mao, Conor Fahy

IEEE Trans. Cybern., 2022

Approximation operators via TD-matroids on two sets.

Gang Wang, Hua Mao

Soft Comput., 2022

2021

Low-rank representation with adaptive dictionary learning for subspace clustering.

Jie Chen, Hua Mao, Zhu Wang, Xinpei Zhang

Knowl. Based Syst., 2021

Two forms of three-way semiconcepts.

Hua Mao, Xiaoqing Liu, Gang Wang

J. Intell. Fuzzy Syst., 2021

Three-way rough semiconcept.

Hua Mao, Yilin Cheng

J. Intell. Fuzzy Syst., 2021

Efficient algorithms for collecting the statistics of large-scale IP address data.

Jie Chen, Hua Mao

CoRR, 2021

2020

Asymmetric Intimacy Based Positive Emotions Contagion Peer Public Safety Evacuation Behavior.

Yan Mao, Zixuan Fan, Hua Mao, Wu He

IEEE Access, 2020

2019

Stem cell motion-tracking by using deep neural networks with multi-output.

Yangxu Wang, Hua Mao, Zhang Yi

Neural Comput. Appl., 2019

Spectrogram based multi-task audio classification.

Yuni Zeng, Hua Mao, Dezhong Peng, Zhang Yi

Multim. Tools Appl., 2019

Intuitionistic fuzzy threshold graphs.

Lanzhen Yang, Hua Mao

J. Intell. Fuzzy Syst., 2019

The construction of fuzzy concept lattice based on weighted complete graph.

Hua Mao, Zhen Zheng

J. Intell. Fuzzy Syst., 2019

Approximation operators for semiconcepts.

Hua Mao

J. Intell. Fuzzy Syst., 2019

2018

Audio classification using attention-augmented convolutional neural network.

Yu Wu, Hua Mao, Zhang Yi

Knowl. Based Syst., 2018

Relationships between three-way concepts and classical concepts.

Hua Mao, Shufeng Zhao, Lanzhen Yang

J. Intell. Fuzzy Syst., 2018

Attribute reduction based on directed graph in formal fuzzy contexts.

Hua Mao, Hui-Ru Miao

J. Intell. Fuzzy Syst., 2018

Symmetric low-rank preserving projections for subspace learning.

Jie Chen, Hua Mao, Haixian Zhang, Zhang Yi

Neurocomputing, 2018

2017

Parameter as a Switch Between Dynamical States of a Network in Population Decoding.

Jiali Yu, Hua Mao, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2017

Representing attribute reduction and concepts in concept lattice using graphs.

Hua Mao

Soft Comput., 2017

Explicit guiding auto-encoders for learning meaningful representation.

Yanan Sun, Hua Mao, Yongsheng Sang, Zhang Yi

Neural Comput. Appl., 2017

Moving object recognition using multi-view three-dimensional convolutional neural networks.

Tao He, Hua Mao, Zhang Yi

Neural Comput. Appl., 2017

Cell mitosis detection using deep neural networks.

Yao Zhou, Hua Mao, Zhang Yi

Knowl. Based Syst., 2017

Protein secondary structure prediction by using deep learning method.

Yangxu Wang, Hua Mao, Zhang Yi

Knowl. Based Syst., 2017

Subspace clustering using a symmetric low-rank representation.

Jie Chen, Hua Mao, Yongsheng Sang, Zhang Yi

Knowl. Based Syst., 2017

Interval neutrosophic fuzzy concept lattice representation and interval-similarity measure.

Hua Mao, Geng-Mei Lin

J. Intell. Fuzzy Syst., 2017

Cell tracking using deep neural networks with multi-task learning.

Tao He, Hua Mao, Jixiang Guo, Zhang Yi

Image Vis. Comput., 2017

2016

Learning a good representation with unsymmetrical auto-encoder.

Yanan Sun, Hua Mao, Quan Guo, Zhang Yi

Neural Comput. Appl., 2016

Learning deterministic probabilistic automata from a model checking perspective.

Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen

Mach. Learn., 2016

Approximating behavioral equivalence for scaling solutions of I-DIDs.

Yifeng Zeng, Prashant Doshi, Yingke Chen, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran

Knowl. Inf. Syst., 2016

Symmetric low-rank representation for subspace clustering.

Jie Chen, Haixian Zhang, Hua Mao, Yongsheng Sang, Zhang Yi

Neurocomputing, 2016

Manifold dimension reduction based clustering for multi-objective evolutionary algorithm.

Yanan Sun, Gary G. Yen, Hua Mao, Zhang Yi

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014

Characterization and reduction of concept lattices through matroid theory.

Hua Mao

Inf. Sci., 2014

Continuity Properties of Distances for Markov Processes.

Manfred Jaeger, Hua Mao, Kim Guldstrand Larsen, Radu Mardare

Proceedings of the Quantitative Evaluation of Systems - 11th International Conference, 2014

Diversifying the Storytelling Using Bayesian Networks.

Wenyun Wu, Biyang Ma, Shaoxin Zhang, Yifeng Zeng, Hua Mao

Proceedings of the Agents and Data Mining Interaction - 10th International Workshop, 2014

Learning Agents' Relations in Interactive Multiagent Dynamic Influence Diagrams.

Yinghui Pan, Yifeng Zeng, Hua Mao

Proceedings of the Agents and Data Mining Interaction - 10th International Workshop, 2014

2012

Learning and Model-Checking Networks of I/O Automata.

Hua Mao, Manfred Jaeger

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Learning Markov Decision Processes for Model Checking

Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen

Proceedings of the Proceedings Quantities in Formal Methods, 2012

Learning Markov Models for Stationary System Behaviors.

Yingke Chen, Hua Mao, Manfred Jaeger, Thomas Dyhre Nielsen, Kim Guldstrand Larsen, Brian Nielsen

Proceedings of the NASA Formal Methods, 2012

Learning Communication in Interactive Dynamic Influence Diagrams.

Yifeng Zeng, Hua Mao, Prashant Doshi, Yinghui Pan, Jian Luo

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

An Optimization Approach to Believable Behavior in Computer Games.

Yifeng Zeng, Hua Mao, Fan Yang, Jian Luo

Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

Improved use of partial policies for identifying behavioral equivalence.

Yifeng Zeng, Hua Mao, Yinghui Pan, Jian Luo

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Learning Probabilistic Automata for Model Checking.

Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen

Proceedings of the Eighth International Conference on Quantitative Evaluation of Systems, 2011

Dynamic Ordering-Based Search Algorithm for Markov Blanket Discovery.

Yifeng Zeng, Xian He, Yanping Xiang, Hua Mao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Utilizing Partial Policies for Identifying Equivalence of Behavioral Models.

Yifeng Zeng, Prashant Doshi, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran, Jian Luo

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2009

Paving matroids of arbitrary cardinality.

Hua Mao

Ars Comb., 2009

2006

On geometric lattices and matroids of arbitrary cardinality.

Hua Mao

Ars Comb., 2006

2004

Factorization theorem for strong maps.

Hua Mao, Sanyang Liu

Discret. Math., 2004